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LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios | |
Ahmed, A. A. Masrur1; Deo, Ravinesh C.1; Ghahramani, Afshin2; Raj, Nawin1; Feng, Qi3,4![]() | |
发表日期 | 2021 |
卷号 | v 35期号:n 9页码:p 1851-1881 |
语种 | 英语 |
来源期刊 | Stochastic Environmental Research and Risk Assessment
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来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/239854 |
作者单位 | 1.School of Sciences, University of Southern Queensland, Springfield; QLD; 4300, Australia 2.Centre for Sustainable Agricultural Systems, University of Southern Queensland, Springfield; QLD; 4300, Australia 3.Key Laboratory of Ecohydrology of Inland River Basin, Chinese Academy of Sciences, Beijing, China 4.Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Rd 320, Gansu Province, Lanzhou; 730000, China |
推荐引用方式 GB/T 7714 | Ahmed, A. A. Masrur,Deo, Ravinesh C.,Ghahramani, Afshin,et al. LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios[J]. 中国科学院西北生态环境资源研究院,2021,v 35(n 9):p 1851-1881. |
APA | Ahmed, A. A. Masrur.,Deo, Ravinesh C..,Ghahramani, Afshin.,Raj, Nawin.,Feng, Qi.,...&Yang, Linshan.(2021).LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios.Stochastic Environmental Research and Risk Assessment,v 35(n 9),p 1851-1881. |
MLA | Ahmed, A. A. Masrur,et al."LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios".Stochastic Environmental Research and Risk Assessment v 35.n 9(2021):p 1851-1881. |
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